MétaCan
Menu
Back to cohort
Record W20019925 · doi:10.1093/pch/8.2.93

Thermochemical Conversion of Oil sand Bitumen in Delayed Coking Reactor

2008· article· en· W20019925 on OpenAlexaboutno aff
See Hoon Lee, Sang Jun Yoon, Jae-Goo Lee, Jae‐Ho Kim

Bibliographic record

VenueJournal of the Korean Institute of Resources Recycling · 2008
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsOil sandsAsphaltCokeDelayed cokerDiesel fuelPetroleum cokeYield (engineering)Coker unitWaste managementFuel oilEnvironmental scienceMaterials sciencePulp and paper industryPetroleum engineeringMetallurgyGeologyComposite materialEngineering

Abstract

fetched live from OpenAlex

Health emergency planning for preparedness and response against acts of terrorism, including the malfeasant threat or actual release of biological agents designed to harm others, has assumed a higher level of concern for most western nations, including Canada, following the explosive attacks in the United States on September 11, 2001. These terrorist attacks were followed by an outbreak of anthrax infections. The Bacillus anthracis spores in these attacks were dispersed by using regular postal services in the United States. In addition to the unsettling sense of social vulnerability that resulted from these attacks, a greater appreciation that the integration of public health, emergency health and social services with security activities was required to fully address the need to protect the health and other interests of the citizens. Collaborative work among regional, provincial, territorial, federal and international authorities within these domains is emerging as an effective response to the risk management of bioterrorism. The following is a brief description of the health framework for preparedness and response, and the biological agents of major concern in terrorism.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.392

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.229
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the Korean Institute of Resources RecyclingSame topicPetroleum Processing and AnalysisFrench-language works237,207